Triple

T7076034
Position Surface form Disambiguated ID Type / Status
Subject Roger de Kirkpatrick E164820 entity
Predicate language P15 FINISHED
Object Middle Scots E4354 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Middle Scots | Statement: [Roger de Kirkpatrick, language, Middle Scots]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Scots
Context triple: [Roger de Kirkpatrick, language, Middle Scots]
  • A. Scots
    The Scots is the nickname for the athletic teams representing Macalester College in intercollegiate sports.
  • B. Scots chosen
    Scots is a West Germanic language historically spoken in Lowland Scotland and parts of Ulster, closely related to English but with its own distinct vocabulary, grammar, and literary tradition.
  • C. Scottish
    Scottish refers to people, culture, and heritage originating from Scotland, a country that is part of the United Kingdom.
  • D. Scottish English
    Scottish English is the variety of English spoken in Scotland, characterized by distinct pronunciation, vocabulary, and influences from Scots and Gaelic.
  • E. Middle English
    Middle English is the historical stage of the English language spoken and written roughly between the late 11th and late 15th centuries, exemplified by works like Chaucer’s "Canterbury Tales."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ebf4048190bf5d7156817f93a7 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79468c7688190bf10433f05e77574 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.